Taylor, TX

Engineer Jobs in Taylor, TX

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Today

Machine Learning Engineer

Samsung Taylor, TX

Taylor, TX

Today

$90k - $175k/yr Full time Anomaly Detection Big Data Data Pipeline

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Job Description

Samsung Austin Semiconductor is hiring a Machine Learning Engineer to build and maintain end-to-end model pipelines focused on anomaly detection and root cause analysis. The role emphasizes distributed processing of manufacturing time-series and operational data, with heavy use of PySpark to take datasets from ingestion through training, validation, deployment, and monitoring in production.

This full-time onsite position is located in Taylor, TX and offers a base salary range of $90,000 to $174,500 per year. The team is focused on building reproducible, auditable ML workflows that can be reliably retrained and rolled back when performance shifts.

What you’ll do

Develop PySpark workflows to ingest, clean, and transform high-volume manufacturing data, producing structured datasets for training and inference.
Improve Spark performance by tuning partition strategies, managing executor memory, reducing shuffle, and addressing skewed joins to lower runtime and cluster usage.
Create and maintain end-to-end ML pipelines that automate feature calculation, model training, validation, and deployment while ensuring runs are reproducible and auditable.
Implement and tune machine learning models for anomaly detection and root cause analysis.
Own the production model lifecycle including version tracking, secure artifact storage, automated retraining triggers, and rollback procedures when performance degrades.
Monitor pipeline execution times, data quality, and model metrics such as accuracy, drift, and throughput, and build alerting rules to detect failures or degradation early.

What you bring

A Bachelor’s degree or higher in Computer Science, Software Engineering, Data Science, or a related quantitative field.
3 to 5+ years of professional experience building and maintaining machine learning systems.
Strong proficiency in PySpark and distributed data processing, including experience optimizing jobs for speed and memory.
Hands-on experience with Python ML libraries including scikit-learn, TensorFlow, PyTorch, or XGBoost.
Practical knowledge of MLOps, including pipeline orchestration, model versioning, experiment tracking, and deployment.
Experience setting up monitoring and alerting for both data pipelines and deployed models.

Technologies

PySpark, Spark
Python
scikit-learn
TensorFlow
PyTorch
XGBoost

Benefits

Medical, dental, and vision insurance
Life insurance and 401(k) matching with immediate vesting
Onsite café(s) and workout facilities
Paid maternity and paternity leave
Paid time off (PTO) + 2 personal holidays and 10 regular holidays
Wellness incentives and MORE
Eligible full-time employees (salaried or hourly) may receive MBO bonuses based on company, division, and individual performance

Preferred

Experience setting up model registries, automated retraining triggers, and rollback procedures to keep production models reliable.
Experience writing automated tests and validation checks for data pipelines and model outputs to catch errors before deployment.
Familiarity with on-prem or private cloud infrastructure, including cluster management and secure artifact storage.

Additional information

U.S. Export Control Compliance: This role may require access to information subject to U.S. export control laws. Applicants must be authorized to access such information or eligible for government authorization.

Trade Secrets Notice: By submitting an application, you agree not to disclose to Samsung, or encourage Samsung to use, any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity.

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1mo ago

Electrical Distribution Engineer

Samsung Electronics Taylor, TX

Taylor, TX

1mo ago Closed

$76k - $145k/yr Full time Electrical Engineering Analytical Skills Arc Flash Analysis

This position is no longer accepting applications (closed Aug 4, 2026).

Job Description

Samsung Electronics offers an onsite opportunity in Taylor, Texas for an Electrical Distribution Engineer who can oversee commissioning, startup, and qualification of new power distribution assets while keeping existing industrial infrastructure reliable, safe, and high performing. The role is structured for first shift, Monday through Friday, 8:00 am to 5:00 pm, with a salary range of USD 76,000 to 145,000 per year. A Bachelor’s degree in Electrical or Electronics Engineering from an ABET-accredited program and at least four years of industrial electrical maintenance experience are required. Semiconductor fab experience is preferred, and a Professional Engineer license in Texas is a plus. This position blends hands-on field execution with rigorous documentation, standards compliance, and cross-functional coordination to deliver robust, fault-tolerant electrical systems.

Benefits

Medical, dental, and vision insurance
Life insurance and 401(k) matching with immediate vesting
Onsite café(s) and workout facilities
Paid maternity and paternity leave
PTO plus 2 personal holidays and 10 regular holidays
Wellness incentives and MORE

Responsibilities

Coordinate with design engineering, construction, operations, and maintenance teams to align requirements and schedules
Lead pre-commissioning, functional testing, and energization of medium and low voltage switchgear, transformers, UPS, generators, and motor-control equipment
Verify protection schemes with relays, circuit breakers, and electronic trip units meet design intent and industry standards (IEEE, IEC, NEMA)
Perform detailed safety verifications before applying power, including lock-out/tag-out, arc-flash analysis, and grounding checks
Ensure work adheres to applicable codes (NFPA 70E, NEC, IEC 61850, ANSI/IEEE) and internal procedures
Produce commissioning reports, as-built drawings, punch lists, and close-out documentation
Log deficiencies, develop corrective-action plans, and track resolutions in the project management system
Interface newly commissioned assets with SCADA/EMS platforms; validate telemetry, alarms, and remote control functions
Coordinate with automation engineers to ensure proper tag mapping and data integrity
Perform fault diagnosis, performance validation, and corrective actions on new and legacy equipment
Work schedule: 1st Shift, Mon-Fri, 8:00 am to 5:00 pm

Requirements

Bachelor of Electrical or Electronics Engineering from an ABET-accredited institution
Minimum four years of electrical maintenance experience in an industrial setting; semiconductor fab experience is preferred
Professional Engineer license issued or recognized by the State of Texas is a plus
Working knowledge of IBC, IFC, and other codes and standards applicable to industrial power distribution system design and reliability
Detailed understanding of industrial power distribution systems design, maintenance, and electrical power monitoring equipment
Daily use of a Computerized Maintenance Management System to manage assets and maintenance schedules
Working knowledge of OSHA General Industry and Construction standards
Experience with Microsoft Excel for data analysis, including Pivot Tables, VLOOKUP data linking, and simple scripting
Ability to work overtime or on non-scheduled days as required

Technologies

SCADA
EMS (Energy Management System)
CMMS
Microsoft Excel

U.S. Export Control Compliance

This role may require access to information subject to U.S. export control laws. Applicants must be authorized to access such information or eligible for government authorization.

Trade Secrets Notice

By applying, you agree not to disclose to Samsung or encourage Samsung to use any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity.

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Engineer Jobs in Taylor, TX

Machine Learning Engineer

Electrical Distribution Engineer

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